18 results about "Dynamic software" patented technology

The invention belongs to the technical field of bridge wind vibration control, and discloses a fluid-solid coupling numerical calculation method for studying the control of a friction energy consumption device on the flutter of a large-span bridge, which comprises the following steps: compiling a user-defined function secondary development program by using a dynamic grid technology based on computational fluid dynamics software Fluent, and embedding the program into a solver for calculation. And a motion equation of a rigid main beam-friction energy consumption device coupling system in the wind field is established, fluid-solid coupling solving is achieved in the mode that rigid main beam motion and flow field motion are alternately solved, and vertical and torsional motion responses of the controlled main beam are obtained. Compared with a wind tunnel test method, the method has the advantages that various parameters and stress modes of the rigid main beam and the friction energy consumption device can be accurately set, full-scale simulation can be realized, rich information such as movement time history data of the main beam and a nearby flow field under various parameter conditions can be conveniently and safely obtained, vibration suppression mechanism analysis can be conveniently carried out, and the method is suitable for popularization and application. And the research difficulty, cost and risk are greatly reduced.

This invention provides a hybrid solution method for computational fluid dynamics software structural solvers. The method first determines whether some model equations employ a loosely coupled approach, specifying that the number of conserved quantities equals the number of tightly coupled conserved quantities. Then, it iteratively solves the problem block by block, successively solving both tightly coupled and loosely coupled equation sets. Finally, it merges the loosely coupled and tightly coupled conserved quantities until all grid blocks have been iteratively solved. This method simultaneously implements both tightly coupled and loosely coupled architectures within a single data structure, enabling the software to simultaneously achieve high solution accuracy, high efficiency, and scalability.

The application discloses a kind of engine cooling fan assembly strength calculation method based on one-way fluid-solid coupling, comprising: the geometric model of cooling fan assembly is established;Utilize the finite element model of cooling fan assembly and external flow field generated by mesh division software;In structural analysis software, respectively, to cooling fan and fan support plate is endowed with material mechanics characteristics, and boundary condition is set;In computational fluid dynamics software, set the turbulence model and boundary condition of external flow field;Blade surface is set as fluid-solid coupling surface, first solve flow field using computational fluid dynamics software, pass blade surface pressure in calculation result to finite element software by interpolation, and finite element software is used as boundary condition to simulate and analyze the structural strength of cooling fan assembly, and obtain cooling fan assembly strength.The application improves the accuracy of the model and ensures the calculation efficiency by taking the aerodynamic pressure load on the blade as the boundary condition when predicting the structural strength of the cooling fan.

A semi-physical simulation test platform of a vertical take-off and landing single aircraft comprises an aircraft semi-physical set system, ground test equipment and a tool set system. The aircraft semi-physical set system comprises a power part serving as a physical part, a physical sensor, a control mechanism, test equipment, an onboard computer, flight control software loaded and operated on the onboard computer, and a power simulator, a control simulator and a sensor simulator loaded and operated on the onboard computer or a ground computer. The ground test equipment comprises a test controller and simulation dynamics software loaded and operated on a ground computer; the tool set system is used for connecting the platform with an external test device and comprises an onboard tool, a ground tool and a tool connecting piece, the onboard tool is used for fixing the aircraft semi-physical set system, the ground tool is used for fixing ground test equipment, and the tool connecting piece is used for movably and detachably connecting the onboard tool and the ground tool. When the platform is used for testing, the cost can be effectively reduced, and the aircraft iteration period is accelerated.

This invention discloses a dynamic vibration reduction control method. The method involves acquiring parameter combination data of the vibration reduction equipment and inputting it into computational fluid dynamics software for calculation, outputting combined data of the results. Using the combined data of the results as independent variables and the expected loss as the dependent variable, a deep neural network is used for training to obtain a vibration loss function. An optimization algorithm is used to obtain parameter combination data with the minimum expected loss, and then an optimal vibration reduction control strategy function is constructed. The difference between the expected loss and the minimum expected loss is calculated to obtain the expected benefit. The work required to overcome external forces when the appendage switches from normal operating conditions to optimal control conditions is obtained to obtain the control cost function. An exhaustive search or swarm intelligence method is used to obtain the combination that maximizes the comprehensive evaluation function. The optimal comprehensive control strategy function under different flow velocities is obtained. The optimal comprehensive control strategy function is deployed to the controller of the vibration reduction equipment, and the relative position of the appendage is dynamically adjusted according to the measured different inflow velocities.

The invention discloses a software quality dynamic measurement and uncertainty quantification method based on a Bayesian-KAN-ODE series architecture, and belongs to the technical field of software quality metrics, and the method comprises the following steps: carrying out dimensionless processing on a quality index of software to be evaluated, and determining an initial weight; inputting the processed data into a Kolmogorov-Arnold network, extracting quality features by using a learnable spline function of the Kolmogorov-Arnold network, and deducing the uncertainty of a quantization parameter based on variation; inputting the initial weight and the extracted features into an ordinary differential equation model, and solving an ordinary differential equation to realize continuous time dynamic evolution of the weight; and finally, constructing a series architecture, and generating software quality prediction distribution containing a prediction mean value and a confidence interval through Monte Carlo sampling. According to the method, the defects of a traditional method in coping with parameter uncertainty, time evolution uncertainty and a complex nonlinear relation are overcome, and the dynamic property, robustness and interpretability of measurement are improved.

The invention provides an automatic operation method and system for interface-free industrial software, and the method comprises the steps: obtaining screenshots of all interfaces of the industrial software, storing the screenshots in folders named by corresponding types according to the types of all the interfaces, training the stored screenshot samples based on a neural network model, recognizing the interface types and interface functions, and completing the operation of the interface-free industrial software. Identifying a current operation interface according to the neural network model, loading an interface template image set corresponding to the current operation interface, selecting a matching result with the highest confidence coefficient as an interface template by adopting a template matching algorithm, and determining the position of an operation target of the current operation interface according to the interface template, automatically operating the current operation interface according to the position of the operation target; the page type and the page function are recognized through the neural network model, the software dynamic interface is recognized in real time, the operation target is positioned according to the corresponding interface template, and automatic operation of the interface-free industrial software can be rapidly and accurately achieved.

The invention relates to the field of reactor core physical calculation, in particular to a reactor core physical optimization calculation method under a nuclear power unit bias operation condition, and the method comprises the following steps: 1, constructing a geometric model and a reactor core grid model of a reactor in fluid dynamics software; 2, establishing a porous medium model in fluid dynamics software; 3, setting boundary conditions in the hydrodynamic software and carrying out thermal hydraulic calculation; 4, constructing a thermotechnical and physical coupling interface, taking a thermotechnical calculation result of the hydrodynamic software as input, and carrying out physical calculation in physical calculation software; 5, taking the three-dimensional power distribution of the physical calculation software as fluid dynamics software input, and carrying out thermal hydraulic calculation to obtain an optimized fuel assembly upper power peak factor and an optimized fuel assembly volume power peak factor; and 6, repeating the steps 3-5 until the power peak factor converges. According to the method, the physical parameters of the reactor core under the bias ring operation condition are calculated, and the control capability of safe operation of the reactor is further improved.

The invention discloses a dynamic modeling and fault simulation method for an RV reducer with a rolling bearing, and belongs to the technical field of mechanical transmission. According to the method, complete three-dimensional modeling and assembling are carried out on all parts in the RV reducer, a tapered roller bearing, an angular contact ball bearing, a needle bearing and other full-class rolling bearings are introduced, and based on Adams multi-body dynamics software, a high-precision dynamics simulation model is established by adopting an IMPACT contact model and a friction model; verifying the working frequency of the model through theoretical calculation, test bed vibration signal acquisition and spectral analysis; on the basis, the difference between the bearing and the traditional model neglecting the bearing is compared, analyzed and considered, and the influence of different types of bearings on the output rotating speed, the gear meshing force and the transmission error is further studied. Meanwhile, a pitting corrosion defect is introduced into the tooth surface of the gear, a gear pitting corrosion fault model is constructed, and simulation and experimental verification of the fault characteristic frequency of the RV reducer are achieved. According to the method, the actual running state of the RV speed reducer can be reflected more truly, the dynamics simulation precision is improved, and an effective technical means is provided for structural design, performance evaluation and fault diagnosis of the RV speed reducer.

The invention discloses a self-adaptive ammonia spraying device for flue gas denitrification, relates to the technical field of flue gas denitrification environmental protection, and is used for improving the denitrification efficiency. In the device, a cooperative control framework of static hardware matching and dynamic software adjustment is constructed by the flue gas denitration self-adaptive ammonia spraying device, so that complex online mechanical adjustment is converted into external fluid control, and the problems of jamming and abrasion in a high-temperature and high-dust environment are solved by utilizing a fixed gap unit without a movable component; therefore, the long-term operation reliability of the flue gas denitration self-adaptive ammonia spraying device is improved. And meanwhile, by combining the fusion calculation of the AI model on the multi-source data and a double-level intelligent diagnosis early warning mechanism, the dual self-adaption of the ammonia spraying strategy on the space non-uniformity and the time change is realized, so that the denitration efficiency is improved on the premise of improving the stability of the flue gas denitration self-adaptive ammonia spraying device.

The present application belongs to the technical field of bridge wind vibration control, and discloses a kind of fluid-structure coupling numerical calculation method for studying friction energy dissipation device control large-span bridge flutter, based on computational fluid dynamics software Fluent, secondary development program is embedded in solver calculation using dynamic mesh technology compiling user-defined function.The motion equation of the rigid main beam-friction energy dissipation device coupling system in the wind field is established, and the fluid-structure coupling solution is realized by adopting the alternating solution mode of rigid main beam motion and flow field motion, to obtain the vertical and torsional motion response of the controlled main beam.Compared with the wind tunnel test method, the present application can accurately set various parameters and stress modes of the rigid main beam and the friction energy dissipation device, and can realize full-scale simulation, to conveniently and safely obtain rich information such as motion time history data of the main beam and the flow field near the main beam under various parameter conditions, facilitate the analysis of vibration suppression mechanism, and greatly reduce the research difficulty, cost and risk.

The present application belongs to the technical field of transformer simulation, and particularly relates to a method for optimizing the number and size of openings of an oil guide box of a converter transformer, which calculates the no-load loss and load loss of the converter transformer; performs grid division on a physical model and imports the physical model into computational fluid dynamics software; sets parameters and conditions for simulation in the computational fluid dynamics software; and the computational fluid dynamics software statistically obtains the average temperature, hottest point temperature of the converter transformer grid-side winding, valve-side winding and voltage-regulating side winding, and the maximum oil flow speed of the transformer oil flow area; the variation law is obtained by changing one variable, the optimal optimization scheme is obtained, and the number and size of openings of the grid-side oil outlet hole, valve-side oil outlet hole and voltage-regulating side oil outlet hole are determined. The oil flow distribution of the grid side, valve side and voltage-regulating side is reasonably adjusted, so as to reduce the hottest point temperature and finally protect the operation safety of the converter transformer and prolong the service life of the converter transformer.

The invention discloses a debugging method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: acquiring network information associated with a debugging end; a dynamic software development kit SDK integrated in the target application is utilized, logic connection with the debugging end is established based on the network information, and the dynamic SDK is obtained through development based on a browser developer tool protocol; and in response to the received debugging instruction sent by the debugging end, executing the debugging instruction on the target application. According to the embodiment, the target application is debugged.

The invention relates to a device and a method for the dynamic use of software in a vehicle.

In various embodiments described herein, a method of dynamic software distribution and synchronization, includes identifying a software state change of a network device, generating a secure manifest configured for the network device, selecting a distribution strategy, propagating the secure manifest and one or more software objects, and receiving a synchronization report.

The invention discloses an automobile seat acupoint stimulation adaptation method, and belongs to the technical field of intelligent cabins. According to the main conception, a dimension reduction thought is adopted, a large number of individual differences are converted into number-controllable groups by defining height groups in advance, and a relatively most appropriate fixed actuator is selected for each group of users to achieve adaptation of a stimulation scheme. The method specifically comprises the following steps: acquiring height data of a current user, and matching the height data with a plurality of preset height groups to determine a target height group; and according to the selected symptom conditioning scheme in combination with the target height group, calling a corresponding actuator activation list for generating and sending a driving instruction to a corresponding fixed actuator so as to execute an acupoint stimulation mode. Static hardware layout based on the acupuncture points and dynamic software selection based on the height are coupled, the mapping relation between the human body acupuncture points and the height interval and between the human body acupuncture points and the height interval and the fixed actuator is established, the thought of hardware limitation is effectively made up, cost is low, and reliability is high.